An innovative care model using continuous glucose monitoring metric data to provide real-time personalised care for children with diabetes.

Continuous glucose monitoring percentage time in range 3.9-10.0mmol/L

Currently we are not meeting glycaemic targets using standard care models. This provides the opportunity to review models of care to maximise outcomes. The use of continuous glucose monitor (CGM) data to detect changes in glycaemic control provides an opportunity to adapt our model of care to deliver more personalised and targeted care for young people with diabetes. This trial will test a new model of care, aiming to use CGM data to detect early adverse changes in glycaemic control and provide targeted and tailored intervention to those individuals needing more intensive support. Aim: This study aims to investigate if using fortnightly review CGM for early identification of adverse markers in glycaemic control, with implementation of targeted intervention improves glycaemic outcomes and patient reported outcomes in children living with diabetes compared to those receiving care using the current standard model of care. Objectives: 1) To investigate if targeted intervention based on adverse glycaemic control on CGM metrics improves glycaemic control compared to standard models of care 2) To investigate if patient and family reported satisfaction and outcomes are improved with targeted intervention based on CGM metrics 3) To conduct cost-benefit analysis of targeted intervention compared to standard models of care 4) To conduct post study consultation with consumers and health care professionals for feedback on the study and relevant comments on next stages of digital dashboard development Hypothesis: 1. Using fortnightly review of digital CGM upload for early identification of adverse changes in glycaemic control with targeted personalised clinical intervention can improve overall glycaemic control and patient and family satisfaction compared to 3-monthly review at multidisciplinary appointments.